Of course, this workaround assumes that no other parameters would be bound outside of the UNLOAD's query inside the ( ). You can also unload data from Redshift to S3 by calling an unload command. option ( 'unloads3format', 'TEXT') Connector parameters The parameter map or OPTIONS in Spark SQL supports the following settings. You can upload data into Redshift from both flat files and json files. To unload the result as pipe-delimited text file, specify the following option. Subsequently, if the sub-query executed successfully without any errors or exceptions, we could assume that the sub-query is safe, thus allowing us to wrap the sub-query back into the UNLOAD parent statement, but this time replacing the bind parameters with actual user-supplied parameters (simply concatenating them), which have now been validated in the previously run SELECT query. pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager. The best way to load data to Redshift is to go via S3 by calling a copy command because of its ease and speed. Not all options are guaranteed to work as some options might conflict. You can use the CREATE EXTERNAL FUNCTION command to create user-defined functions that invoke functions from AWS Lambda. extraunloadoptions: No: N/A: Extra options to append to the Redshift UNLOAD command. You can use the COPY command to load (or import) data into Amazon Redshift and the UNLOAD command to unload (or export) data from Amazon Redshift. Valid options are Parquet and Text, which specifies to unload query results in the pipe-delimited text format. This would let us use Redshift's prepared statement support (which is indeed supported for SELECT queries) to bind and validate the potentially risky, user-supplied parameters first. The Redshift UNLOAD command unloads the result of a query to one or more text, JSON, or Apache Parquet files on Amazon S3, using Amazon S3 server-side. unloads3format: No: Parquet: The format with which to unload query results. While trying to devise a workaround for this, a colleague of mine has thought up a workaround: instead of binding the parameters into the UNLOAD query itself (which is not supported by Redshift), we could simply bind them to the inner sub-query inside the UNLOAD's ( ) first (which happens to be a SELECT query - which is probably the most common subquery used within UNLOAD statements by most Redshift users, I'd say) and run this sub-query first, perhaps with a LIMIT 1 or 1=0 condition, to limit its running time. The COPY command is COPY 'tempTable' from 's3://redshift-testing/3172530462e49cd23e3ea46488706041746780f85/' CREDENTIALS 'awsaccesskeyid awssecretaccesskey ' FORMAT PARQUET There is no related error in STLLOADERRORS. Thanks for your quick reply, and thanks for re-raising this issue with the Redshift server team. / Questions / Redshift UNLOAD parquet file size Redshift UNLOAD parquet file size 0 My customer has a 2 - 4 nodes of dc2.8 xlarge Redshift cluster and they want to export data to parquet in the optimal size (1GB) per file with option (MAXFILESIZE AS 1GB).

Redshift unload to s3 parquet